381 lines
11 KiB
Markdown
381 lines
11 KiB
Markdown
中文简体|[English](#)
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<p align="center">
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<a href="https://gitee.com/CV_Lab/opencv_webcam">
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<img src="https://gitee.com/CV_Lab/opencv_webcam/attach_files/952125/download/opencv-webcam-script_logo.png" alt="Simple Icons" >
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</a>
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<p align="center">
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基于OpenCV的Webcam程序，适用于实时视频帧采集、计算机视觉数据收集等。
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</p>
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<p align="center">
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具有安装便捷、操作简单、跨平台等特点。
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</p>
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</p>
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<p align="center">
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<a href="https://gitee.com/CV_Lab/opencv_webcam/blob/master/codeCheck.md"><img src="https://img.shields.io/badge/CodeCheck-passing-success" alt="code check" /></a>
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<a href="https://pypi.org/project/opencv-webcam-script/0.3.0/"><img src="https://img.shields.io/badge/PyPi-v0.3.0-brightgreen?logo=pypi" alt="PyPi" /></a>
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<a href="https://gitee.com/CV_Lab/opencv_webcam/releases/v0.3"><img src="https://img.shields.io/badge/Releases-v0.3-green" alt="Releases Version" /></a>
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<a href="https://hub.docker.com/r/zengdockerdocker/opencv-webcam-script"><img src="https://img.shields.io/badge/docker-v0.3-blue?logo=docker" alt="Docker" /></a>
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<a href="https://gitee.com/CV_Lab/opencv_webcam/blob/master/tutorial.ipynb"><img src="https://img.shields.io/badge/Jupyter-v0.3-orange?logo=jupyter" alt="Jupyter" /></a>
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<a href="https://gitee.com/CV_Lab/opencv_webcam/blob/master/LICENSE"><img src="https://img.shields.io/badge/License-GPL--3.0-blue" alt="License" /></a>
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</p>
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<h3 align="center">更新走势</h3>
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<hr>
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- `2022-01-17` **:zap: [opencv-webcam-script v0.3 发行版](https://gitee.com/CV_Lab/opencv_webcam/releases/v0.3)正式上线**
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- `2022-01-17` **:zap: [opencv-webcam-script v0.3 docker版](https://hub.docker.com/r/zengdockerdocker/opencv-webcam-script)正式上线**
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- `2022-01-17` **:zap: [opencv-webcam-script v0.3 Jupyter版](https://gitee.com/CV_Lab/opencv_webcam/blob/master/tutorial.ipynb)正式上线**
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- `2022-01-16` **:zap: [opencv-webcam-script v0.3.0 PyPi版](https://pypi.org/project/opencv-webcam-script/0.3.0/)正式上线**
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- :zap: [opencv-webcam-script v0.2](./v_change/v02_change.md)
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- :zap: [opencv-webcam-script v0.1](./v_change/v01_change.md)
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<h3 align="center">项目结构</h3>
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<hr>
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```
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.
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├── opencv_webcam # 项目名称
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│ ├── utils # 工具包
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│ │ ├── args_yaml.py # 指令管理
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│ │ ├── compress.py # 压缩管理
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│ │ ├── frame_opt.py # 帧保存管理
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│ │ └── hotkey.py # 热键管理
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│ │ └── __init__.py # 工具包初始化
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│ │ └── log.py # 日志管理
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│ │ └── ows_path.py # 保存路径管理
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│ │ └── time_format.py # 时间格式化
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│ ├── v_change # 版本变更
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│ │ ├── v01_change.md # v0.1版本变更
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│ │ └── v02_change.md # v0.2版本变更
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│ ├── codeCheck.md # 代码检查
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│ ├── Dockerfile # docker构建文件
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│ ├── __init__.py # 项目初始化
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│ ├── LICENSE # 项目许可
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│ ├── opencv_webcam.py # 脚本主运行文件
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│ ├── README.md # 项目说明
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│ ├── requirements.txt # pip组件
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│ ├── tutorial.ipynb # Jupyter版
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│ └── v04.md # v0.4记录
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```
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<h3 align="center">安装教程</h3>
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<hr>
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#### :white_check_mark: 方法一：Linux Shell安装（开发版）
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- 第一步：克隆项目
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```shell
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git clone https://gitee.com/CV_Lab/opencv_webcam.git # 克隆项目
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```
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- 第二步：创建虚拟环境
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```shell
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# 创建conda虚拟环境，以python 3.8为例
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conda create -n ows python==3.8 # 虚拟环境名称为ows
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conda activate ows # 激活虚拟环境
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```
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- 第三步：安装脚本
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```shell
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pip install -r ./requirements.txt -U # 安装OpenCV Webcam脚本
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```
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#### :white_check_mark: 方法二：pip 快速安装（PyPi版）
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- 第一步：创建ows虚拟环境，参见方法一
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- 第二步：执行pip指令
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```shell
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pip install opencv-webcam-script==0.3.0
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```
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- 第三步：编写python程序
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```python
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from opencv_webcam.opencv_webcam import webcam_opencv
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# 例举两个功能
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webcam_opencv() # 常规调用
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webcam_opencv(is_autoSaveFrame=True) # 自动保存帧
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```
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#### :white_check_mark: 方法三：docker 镜像安装（容器版）
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- 第一步：下载镜像
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```shell
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sudo docker pull zengdockerdocker/opencv-webcam-script:v0.3 # 镜像拉取
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```
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- 第二步：创建容器
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```shell
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xhost +local:root # 允许root用户访问正在运行的X服务器（重要）
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sudo docker run --name=ows --ipc=host -it -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=unix$DISPLAY --device=/dev/video0:/dev/video0 zengdockerdocker/opencv-webcam-script:v0.3 # 创建名称为ows的容器
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```
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- 第三步：运行程序
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```shell
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python3 opencv_webcam.py # 运行脚本程序
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python3 opencv_webcam.py -isasf # 自动保存帧
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# 获取docker帧数据到本机
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sudo docker cp 容器名称:容器目录 本机宿主目录
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sudo docker cp ows:/usr/src/app/WebcamFrame /home/用户名 # 举例
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```
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<h3 align="center">使用教程</h3>
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<hr>
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#### :bulb: 常规调用
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```shell
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# 默认按q键退出
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python opencv_webcam.py
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```
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#### :bulb: 设备选择
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```shell
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# 多摄像头切换示例，默认为0
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python opencv_webcam.py -dev 0
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python opencv_webcam.py -dev 1
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python opencv_webcam.py -dev 2
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# RTSP
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python opencv_webcam.py -dev rtsp://username:password@xxx.xxx.xxx
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```
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#### :bulb: 设置退出键
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```shell
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# 默认按q键退出
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python opencv_webcam.py -q z # 设置z键退出
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python opencv_webcam.py -q k # 设置k键退出
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```
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#### :bulb: 自动保存帧
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```shell
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python opencv_webcam.py -isasf
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```
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#### :bulb: 每隔n帧保存一次帧
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```shell
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# 每隔10帧保存一次帧
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python opencv_webcam.py -isasf -fns 10
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```
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#### :bulb: 手动保存帧
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```shell
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# 默认按a键捕获一帧
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python opencv_webcam.py -ishsf
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```
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#### :bulb: 自定义捕获键
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```shell
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# 设置z键为捕获键，默认为a键
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python opencv_webcam.py -ishsf -fck z
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```
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#### :bulb: 重塑帧尺寸（自定义宽高）
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```shell
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# 重塑宽度300 高度200
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python opencv_webcam.py -isasf -isrf -rf 300 200 # 自动版
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python opencv_webcam.py -ishsf -isrf -rf 300 200 # 手动版
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```
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#### :bulb: 重塑帧尺寸（自定义宽高缩放比）
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```shell
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# 宽高缩放比为0.5
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python opencv_webcam.py -isasf -isrf -rrf 0.5 # 自动版
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python opencv_webcam.py -ishsf -isrf -rrf 0.5 # 手动版
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```
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#### :bulb: 自定义保存路径
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```shell
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# 设置保存路径，默认保存路径为./WebcamFrame
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python opencv_webcam.py -fsd custom_dir -isasf # 以自动版为例
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```
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#### :bulb: 自定义帧目录名称
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```shell
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# 设置帧目录名称，默认保存路径为frames
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python opencv_webcam.py -fdn frames_custom -isasf # 以自动版为例
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```
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#### :bulb: 自定义帧名前缀
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```shell
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# 设置帧图片的前缀名称
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python opencv_webcam.py -isasf -fnp webcam
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```
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#### :bulb: 设置帧保存格式
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```shell
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# 设置JPG质量为100，默认为95
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python opencv_webcam.py -isasf -fss jpg -jq 100
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# 设置PNG质量为5，默认为3
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python opencv_webcam.py -isasf -fss png -jq 5
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```
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#### :bulb: 设置暂停键
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```shell
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# 设置w键为暂停键，默认为p键
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python opencv_webcam.py -p w # 按任意键继续
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```
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#### :bulb: 设置保存帧数
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```shell
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# 设置保存100帧
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python opencv_webcam.py -isasf -afn 100
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```
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#### :bulb: 日志设置
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```shell
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# 日志文件默认保存在项目根目录，test.log
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python opencv_webcam.py
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# 设置日志文件名称及类型，类型包括.log、.txt、.data
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python opencv_webcam.py -ln test02.txt
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# 设置日志保存方式，，默认为追加模式
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python opencv_webcam.py -lm w # 设置为覆盖模式
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```
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#### :bulb: 视频帧压缩
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```shell
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# 常规压缩，默认test.zip（以自动版为例）
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python opencv_webcam.py -isasf -isc
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# 自定义压缩文件名称
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python opencv_webcam.py -isasf -isc -cn test02
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# 自动命名压缩文件
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python opencv_webcam.py -isasf -isc -isacn
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# 自定义压缩模式，默认为写覆盖
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python opencv_webcam.py -isasf -isc -cm a # 追加模式(a模式仅限zip)
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python opencv_webcam.py -isasf -isc -cs tar -cm w:gz # tar压缩
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```
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#### :bulb: 指令查询
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```shell
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# 查询脚本参数
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python opencv_webcam.py --help
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```
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<details open>
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<summary>指令查询结果</summary>
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```shell
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usage: opencv_webcam.py [-h] [--device DEVICE] [--quit QUIT] [--is_autoSaveFrame] [--is_handSaveFrame] [--is_resizeFrame] [--frame_saveDir FRAME_SAVEDIR] [--frame_dirName FRAME_DIRNAME]
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[--frame_nSave FRAME_NSAVE] [--frame_capKey FRAME_CAPKEY] [--resize_frame RESIZE_FRAME [RESIZE_FRAME ...]] [--resizeRatio_frame RESIZERATIO_FRAME]
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[--frame_namePrefix FRAME_NAMEPREFIX] [--frame_saveStyle FRAME_SAVESTYLE] [--jpg_quality JPG_QUALITY] [--png_quality PNG_QUALITY] [--pause PAUSE]
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[--auto_frameNum AUTO_FRAMENUM] [--logName LOGNAME] [--logMode LOGMODE] [--is_compress] [--compressStyle COMPRESSSTYLE] [--is_autoCompressName]
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[--compressName COMPRESSNAME] [--compressMode COMPRESSMODE]
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OpenCV Webcam Script v0.4
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optional arguments:
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-h, --help show this help message and exit
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--device DEVICE, -dev DEVICE
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device index for webcam, 0 or rtsp
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--quit QUIT, -q QUIT quit key for webcam
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--is_autoSaveFrame, -isasf
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is auto save frame
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--is_handSaveFrame, -ishsf
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is hand save frame
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--is_resizeFrame, -isrf
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is resize frame
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--frame_saveDir FRAME_SAVEDIR, -fsd FRAME_SAVEDIR
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save frame dir
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--frame_dirName FRAME_DIRNAME, -fdn FRAME_DIRNAME
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save frame dir name
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--frame_nSave FRAME_NSAVE, -fns FRAME_NSAVE
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n frames save a frame (auto save frame)
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--frame_capKey FRAME_CAPKEY, -fck FRAME_CAPKEY
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frame capture key (hand save frame)
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--resize_frame RESIZE_FRAME [RESIZE_FRAME ...], -rf RESIZE_FRAME [RESIZE_FRAME ...]
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resize frame save
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--resizeRatio_frame RESIZERATIO_FRAME, -rrf RESIZERATIO_FRAME
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resize ratio frame save
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--frame_namePrefix FRAME_NAMEPREFIX, -fnp FRAME_NAMEPREFIX
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frame name prefix
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--frame_saveStyle FRAME_SAVESTYLE, -fss FRAME_SAVESTYLE
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frame save style
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--jpg_quality JPG_QUALITY, -jq JPG_QUALITY
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frame save jpg quality (0-100) default 95
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--png_quality PNG_QUALITY, -pq PNG_QUALITY
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frame save jpg quality (0-9) default 3
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--pause PAUSE, -p PAUSE
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webcam pause
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--auto_frameNum AUTO_FRAMENUM, -afn AUTO_FRAMENUM
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auto save number of frames
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--logName LOGNAME, -ln LOGNAME
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log save name
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--logMode LOGMODE, -lm LOGMODE
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log write mode
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--is_compress, -isc is compress file
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--compressStyle COMPRESSSTYLE, -cs COMPRESSSTYLE
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compress style
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--is_autoCompressName, -isacn
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is auto compress name
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--compressName COMPRESSNAME, -cn COMPRESSNAME
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compress save name
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--compressMode COMPRESSMODE, -cm COMPRESSMODE
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compress save mode, tar w:gz
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```
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</details>
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